Technologist, Quality Assurance EngineeringFull-timeJob Type (exemption status): Exempt position - Please see related compensation & benefits details belowBusiness Function: Quality Assurance EngineeringAt Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.
At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that. Our technology helped people put a man on the moon.
We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms to enabling systems to make cities safer and cars smarter and more connected, Western Digital is fueling a brighter, smarter future.
Today's exceptional challenges require your unique skills. It's You & Western Digital. Together, we're the next BIG thing in data.
ESSENTIAL DUTIES AND RESPONSIBILITIES: Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for OCCQ.Interacts with OCCQ and service teams to identify questions and issues in data analysis and experiments.Develops and codes software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large data sets from disparate sources. Identifies meaningful insights from large data and metadata sources.Interprets and communicates insights and findings from analysis and experiments to the OCCQ owner.Establishes database management systems, standards, guidelines, and quality assurance for database deliverables, such as conceptual design, logical database, data maintenance plan, and policy.Quality Data Analytics & Related Machine Learning ProjectsImprove overall Quality tasks/monitoring by applying Data Analytics & ML skills.Visualization automation development and maintenance for OCCQConsolidate requirementsDevelop, automate, deploy, provide training, maintain, and support visualization systems for the OCCQ departmentData ingestion into the database, AMAZON REDSHIFT/TERADATA, etc.Integrates data from multiple sources to produce requested or required data elements. Programs and maintains report forms and formats, information dashboards, data generators, canned reports, and other end-user information portals or resources.Customer Data Package (Factory Product Performance – FPP)Work within the department and with respective functional departments to compile factory product performance data packages for customersEnsure deadlines are metCompile data packages with necessary information (data and charts) for functional team data input.Support CFEs and Factory team on data analysis requests on OCCQ DataProvide support to CFEs and factory quality data query and data analysis requestsSupport in running queries, analyzing data, and providing recommendations based on the data analysis objectiveSystem support and maintenanceIdentify data integrity issuesWork with owners of source systems to fix the root cause of data integrity issuesMaintaining OCCQ Data and System Team shared folder and websiteMaintain OCCQ server and shared foldersStructure department server and shared folder for easy information accessStructure department shared folders and maintain information securitySupplier Quality Analysis and ReportingGenerate regular and ad-hoc reportsSupport in running queries, analyzing data, and providing recommendations based on the data analysis objectiveREQUIRED: Bachelor's or Master's Degree in Computer Science/Data Science/Information Technology/Applied Mathematics, Statistics, or a related field.Minimum 15 years working experience, preferably with a statistical background and/or 10-12 years working experience in data science, data query/analysis, and Machine Learning Projects.Must possess strong hands-on expertise in developing database and message-oriented applications.Experience in the data storage industry is beneficial.Quality Management System knowledge.Responsible for data import, export, and transformation applications and processes.Creates clear documentation of operating procedures, database object layout, workflow diagrams, and specifications for developed databases.Experience and expertise in ML projects related to data warehousing such as TERADATA, HAWQ, HIVE, IMPALA, and HBASE or high-volume manufacturing environment or experience on BI tools (Spotfire or Tableau or equivalent), data ingestion tools (Alteryx or equivalent), analytics tools (JMP and Minitab or equivalent), MYSQL, MSSQL, Python, SQL.Experience using Large Language Models and identifying ways to incorporate them into new areas and applications.Experience with Python and any of the following Python data science/machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch.PREFERRED: Experience in the data storage industry.Flexible and adaptable, service-minded.Proactive, accountable, and passionate about driving results.Ability to troubleshoot and analyze complex problems.Ability to multi-task and meet deadlines.SKILLS: Good interpersonal and communication skills.Familiar with MYSQL, MSSQL, or other relational database design.Familiar with Python, SQL, ML, Data Analytics tools.Experience on BI tools (Spotfire or Tableau or equivalent), data ingestion tools (Alteryx or equivalent), analytics tools (JMP and Minitab or equivalent) will be an added advantage.Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect, and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ******** to advise us of your accommodation request.
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